Seunggeun (Shawn) Lee

Seunggeun (Shawn) Lee

Seoul National University

H-index: 36

Asia-South Korea

About Seunggeun (Shawn) Lee

Seunggeun (Shawn) Lee, With an exceptional h-index of 36 and a recent h-index of 30 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Biostatistics, Statistical Genetics, Computational Biology, Machine Learning, Data Science.

His recent articles reflect a diverse array of research interests and contributions to the field:

The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population

Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction

Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks

Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores

Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK Biobank

Earlier age at type 2 diabetes diagnosis is associated with increased genetic risk of cardiovascular disease

Investigation of genetic variants and causal biomarkers associated with brain aging

Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Seunggeun (Shawn) Lee Information

University

Position

Associate Professor of Data Science

Citations(all)

11347

Citations(since 2020)

6547

Cited By

7295

hIndex(all)

36

hIndex(since 2020)

30

i10Index(all)

65

i10Index(since 2020)

57

Email

University Profile Page

Seoul National University

Google Scholar

View Google Scholar Profile

Seunggeun (Shawn) Lee Skills & Research Interests

Biostatistics

Statistical Genetics

Computational Biology

Machine Learning

Data Science

Top articles of Seunggeun (Shawn) Lee

Title

Journal

Author(s)

Publication Date

The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population

Scientific Reports

Na Yeon Kim

Haekyung Lee

Sehee Kim

Ye-Jee Kim

Hyunsuk Lee

...

2024/3/8

Incorporating functional annotation with bilevel continuous shrinkage for polygenic risk prediction

BMC bioinformatics

Yongwen Zhuang

Na Yeon Kim

Lars G Fritsche

Bhramar Mukherjee

Seunggeun Lee

2024/2/9

Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks

PLoS genetics

Lars G Fritsche

Kisung Nam

Jiacong Du

Ritoban Kundu

Maxwell Salvatore

...

2023/12/19

Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores

Nature Genetics

Adrian I Campos

Shinichi Namba

Shu-Chin Lin

Kisung Nam

Julia Sidorenko

...

2023/10

Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK Biobank

The American Journal of Human Genetics

Wenjian Bi

Wei Zhou

Peipei Zhang

Yaoyao Sun

Weihua Yue

...

2023/5/4

Earlier age at type 2 diabetes diagnosis is associated with increased genetic risk of cardiovascular disease

Diabetes Care

Hyunsuk Lee

Jaewon Choi

Na Yeon Kim

Jong-Il Kim

Min Kyong Moon

...

2023/5/1

Investigation of genetic variants and causal biomarkers associated with brain aging

Scientific Reports

Jangho Kim

Junhyeong Lee

Kisung Nam

Seunggeun Lee

2023/1/27

Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Cell Genomics

Masahiro Kanai

Roy Elzur

Wei Zhou

Kuan-Han H Wu

Humaira Rasheed

...

2022/12/14

Efficient and accurate frailty model approach for genome-wide survival association analysis in large-scale biobanks

Nature Communications

Rounak Dey

Wei Zhou

Tuomo Kiiskinen

Aki Havulinna

Amanda Elliott

...

2022/9/16

Optimal diagnostic test allocation strategy during the COVID‐19 pandemic and beyond

Statistics in Medicine

Jiacong Du

Lauren J Beesley

Seunggeun Lee

Xiang Zhou

Walter Dempsey

...

2022/1/30

The construction of cross-population polygenic risk scores using transfer learning

The American Journal of Human Genetics

Zhangchen Zhao

Lars G Fritsche

Jennifer A Smith

Bhramar Mukherjee

Seunggeun Lee

2022/11/3

Incorporating family disease history and controlling case–control imbalance for population-based genetic association studies

Bioinformatics

Yongwen Zhuang

Brooke N Wolford

Kisung Nam

Wenjian Bi

Wei Zhou

...

2022/9/15

NETMAGE: A human disease phenotype map generator for the network-based visualization of phenome-wide association study results

GigaScience

Vivek Sriram

Manu Shivakumar

Sang-Hyuk Jung

Yonghyun Nam

Lisa Bang

...

2022

Integrating external controls in case–control studies improves power for rare‐variant tests

Genetic epidemiology

Yatong Li

Seunggeun Lee

2022/4

Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease

Cell Genomics

Wei Zhou

Masahiro Kanai

Kuan-Han H Wu

Humaira Rasheed

Kristin Tsuo

...

2022/10/12

Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits

Cell Genomics

Kisung Nam

Jangho Kim

Seunggeun Lee

2022/10/12

The construction of multi-ethnic polygenic risk score using transfer learning

medRxiv

Zhangchen Zhao

Lars G Fritsche

Jennifer A Smith

Bhramar Mukherjee

Seunggeun Lee

2022/3/10

SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests

Nature genetics

Wei Zhou

Wenjian Bi

Zhangchen Zhao

Kushal K Dey

Karthik A Jagadeesh

...

2022/10

Genome-wide study on 72,298 Korean individuals in Korean biobank data for 76 traits identifies hundreds of novel loci

Medrxiv

Kisung Nam

Jangho Kim

Seunggeun Lee

2022/2/24

Novel score test to increase power in association test by integrating external controls

Genetic epidemiology

Yatong Li

Seunggeun Lee

2021/4

See List of Professors in Seunggeun (Shawn) Lee University(Seoul National University)